Michael Lucas

2.1k citations
14 papers · 1.1k · 1 hit paper · h-index 5

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • Natural Language Processing Techniques
    • Machine Learning in Healthcare
    • Advanced Text Analysis Techniques

Papers in

Michael Lucas

13 papers receiving 1.1k citations

Michael Lucas's Hit Papers

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing 2021 · 1.1k citations
1.1k0+1+3Years since publication2505007501000

Peers

Michael Lucas
Comparison fields: 5 of 112
  • Health Informatics 122
  • Artificial Intelligence 683
  • Health Information Management 35
  • Molecular Biology 378
  • Toxicology 13
Replace Robert Tinn with:
Robert Tinn United States
Naoto Usuyama United States
裕二 池谷 United States
Beatrice Alex United Kingdom
William Boag United States
Qiao Jin United States
Renqian Luo China
Paul Kingsbury United States
Asma Ben Abacha United States
Zongcheng Ji China
Michael Lucas relative to Robert Tinn United States Robert Tinn's profile →
Citations per field
00.5×1.5×
Robert Tinn · 1×
Citations per year

Countries citing papers authored by Michael Lucas

Since Specialization
Citations

This map shows the geographic impact of Michael Lucas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lucas more than expected).

Fields of papers citing papers by Michael Lucas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Lucas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Lucas. The network helps show where Michael Lucas may publish in the future.

Co-authors

The 22 scholars most cited alongside Michael Lucas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Lucas Line = papers co-authored together Michael Lucas links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Hit paper breakdown →
20211094
2 202317
3 20227
4 19747
5 20234
6 20234
7
Systematic Grammatical Simplification.
19913
8
Aspects of Conrad's Literary Language
20003
9 20163
10
Language acquisition and the Conrad phenomenon
19982
11 20231
12
DARPA Initiative in Concurrent Engineering (DICE) Phase 4. Electronics Pilot Project Final Technical Report
19921
13 19751
14
"GASPAR RUIZ" BY JOSEPH CONRAD: A FLAWED TALE
20050

About Michael Lucas

Michael Lucas is a scholar working on Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering, Molecular Biology and Literature and Literary Theory, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Refrigeration and Air Conditioning Technologies (3 papers), Heat Transfer and Optimization (2 papers), Electric Motor Design and Analysis (2 papers), Joseph Conrad and Literature (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Impact of Light on Environment and Health (2 papers). The work is most often cited by research in Health Informatics (122 citations), Artificial Intelligence (683 citations), Health Information Management (35 citations), Molecular Biology (378 citations) and Toxicology (13 citations). Michael Lucas has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Robert Tinn, Hoifung Poon, Tristan Naumann, 裕二 池谷, Naoto Usuyama, Jianfeng Gao, Xiaodong Liu, Hao Cheng, Javaan Chahl and Stephen K. Lucas. Their work appears in journals such as Energies, IRAL - International Review of Applied Linguistics in Language Teaching, Lingua, Applied Sciences and Linguistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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